Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Authored by Last updated on 07/31/2019 - 14:30
Article

Using Modern C++ Techniques to Enhance Multi-core Optimizations

With multi-core processors now common place in PCs, and core counts continually climbing, software developers must adapt. By learning to tackle potential performance bottlenecks and issues with concurrency, engineers can future-proof their code to seamlessly handle additional cores as they are added to consumer systems.
Authored by Last updated on 07/06/2018 - 11:30
Blog post

Go Parallel

This is a first post in a series of posts about parallel programming with

Authored by Dmitry Vyukov Last updated on 05/28/2018 - 18:30
Article

Compiling and Linking Intel® Math Kernel Library with Microsoft* Visual C++*

The article provides hints for linking your program with Intel® MKL from the Microsoft* Visual Studio Environment: Microsoft* Visual Studio 2017/2015/2013/2012/2010 -- Automatically Microsoft* Visual Studio 2017/2015/2013/2012/2010 -- Manually
Authored by Fiona Z. (Intel) Last updated on 09/03/2019 - 10:12
Article

Why is Cilk™ Plus not speeding up my program? (Part 1)

In this article, I discuss some common performance pitfalls in Cilk™ Plus programs that prevent users from seeing speedups in their code, and describe some techniques for avoiding these pitfalls.
Authored by Last updated on 02/04/2019 - 10:40
Article

Offload Computations from Servers with an Intel® Xeon Phi™ Processor

Learn how to use Offload over Fabric software for a server migration path.
Authored by Jan Z. (Intel) Last updated on 07/06/2019 - 16:40
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 10:50
Article

Accelerating Deep Learning Based Large-Scale Inverse Kinematics with Intel® Distribution of OpenVINO™ Toolkit

Use Deep Learning Deployment Toolkit (DLDT) to deploy deep-learning algorithms to solve character Inverse Kinematics (IK) problems.
Authored by Tai Ha (Intel) Last updated on 08/27/2019 - 14:57
Article

Practical Game Performance Analysis Using Intel® Graphics Performance Analyzers

Intel GPA is a suite of graphics performance optimization tools that enables developers to visualize, isolate and resolve graphics performance issues. Improve the performance of your games with the performance analysis methods presented in this article.
Authored by Last updated on 05/03/2019 - 16:13